Identification of public submitted tick images: A neural network approach
Identification of public submitted tick images: A neural network approach
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Ticks and tick-borne diseases represent a growing public health threat in North America and Europe. The number of ticks, their geographical distribution, and the incidence of tick-borne diseases, like Lyme disease, are all on the rise. Accurate, real-time tick-image identification through a smartphone app or similar platform could help mitigate thi...
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Full title
Identification of public submitted tick images: A neural network approach
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TN_cdi_plos_journals_2605598222
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2605598222
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0260622
